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作 者:于耕 刘青 赵龙 YU Geng;LIU Qing;ZHAO Long(Civil Aviation College,Shenyang Aerospace University,Shenyang 110136 Liaoning,China)
机构地区:[1]沈阳航空航天大学民用航空学院
出 处:《综合运输》2019年第10期41-44,51,共5页China Transportation Review
基 金:国家自然科学基金(U1433115);辽宁省教育厅系列项目基金(61671141)
摘 要:航线评估是航空公司进行航线决策的重要依据。为解决模糊多属性航线决策问题,在航线属性权重完全未知,但航线评估模糊语言信息已给出的情况下,本文将评估模糊语言和模糊偏好信息转换为梯形模糊数,利用梯形模糊数之间总偏差最小建立一个二次规划模型,从而确定航线决策中各属性的权重,通过对航线属性值和权重值进行加权平均运算,比较每条航线模糊综合评价的期望值大小,进行航线评估排序,最后通过一个实例验证了该方法的可行性和有效性。结果表明:该方法可用于航空公司解决权重未知的多属性航线评估决策问题,方法科学有效。The route evaluation is an important basis for airlines to make route decisions.In order to solve the fuzzy multiple attribute route decision problem,the route attribute weight was completely unknown,and the route evaluation fuzzy language information was given,the fuzzy language and preference information were converted into trapezoidal fuzzy numbers.A programming model was constructed by minimizing the total deviation between trapezoidal fuzzy numbers to determining the weight of each attribute in the route decision.By weighting the average of the route attribute value and the weights value,compared the expected value of fuzzy comprehensive evaluation for each route,and ranking alternatives by using the expected value operator of fuzzy variable.Finally,a numerical example was used to illustrate the proposed method.The results show that the method can be used by airlines to solve multiple attribute route decision problems with unknown weights,and the method is scientific and effective.
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